GLM 5v Turbo API

Zhipu's GLM 5v Turbo, through an OpenAI-compatible API. Providers quote it on an open exchange, and each request goes to the offer with the lowest estimated charge that meets your rules.

Providers compete for each request. The exchange ranks the offers that meet your rules by estimated charge. It fixes your maximum charge before the first token, and you pay for the tokens that the model uses.
The OpenAI and Anthropic APIs. Use the OpenAI or Anthropic SDK that you have. Set the base URL and your key, and send glm-5v-turbo as the model.
Your data rules. Send x-liquid-retention: none and only offers whose provider does not keep your content compete for the request.

Facts

Model name: glm-5v-turbo
Maker: Zhipu
Context window: 202.8K tokens
Input price: $1.199 per million tokens
Output price: $3.996 per million tokens
Providers: 1 independent provider
Regions: us

Providers

Architect: us, $1.199 input and $3.996 output per million tokens, $0.240 cache read per million tokens, 202.8K tokens of context

Scores

HLE: 17.1, #127 of 273
GPQA: 80.9, #100 of 250
AA-LCR: 70.3, #116 of 237
Terminal-Bench Hard: 32.6, #49 of 166
τ²-Bench: 98.5, #3 of 169
IFBench: 61.1, #66 of 178

Scores: Artificial Analysis (https://artificialanalysis.ai/)

Request

curl https://router.inference.ai.exchange/v1/chat/completions \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5v-turbo",
    "messages": [{"role":"user","content":"Say hello."}]
  }'

Questions

What is GLM 5v Turbo?: Served by intent-router: each job goes to the cheapest healthy upstream for this model.
How much does GLM 5v Turbo cost?: Offers now ask $1.199 per million input tokens and $3.996 per million output tokens. A job pays for the tokens it uses. The exchange picks the cheapest eligible offer.
What is the context length of GLM 5v Turbo?: The largest offer takes 202,800 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
What can GLM 5v Turbo do?: Its providers list Vision, Video input, Reasoning effort, JSON object, JSON schema, Frequency penalty, Logit bias, Log probabilities, Min-p sampling, Presence penalty, Repetition penalty, Seed, Stop sequences, Top-k sampling, Top-p sampling, Text, Tools.
What inputs and outputs does GLM 5v Turbo support?: Text · Images · Video → Text.
Which providers serve GLM 5v Turbo?: 1 independent provider quote it now, with 1 offer. The table above ranks them by the cost of a typical job.
How do I call GLM 5v Turbo?: Send "glm-5v-turbo" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
When was GLM 5v Turbo listed?: The exchange first listed it on 10/8/2026. This is not its release date.